Tubulin Inhibitors: A Chemoinformatic Analysis Using Cell-Based Data

Molecules. 2021 Apr 24;26(9):2483. doi: 10.3390/molecules26092483.

Abstract

Inhibiting the tubulin-microtubules (Tub-Mts) system is a classic and rational approach for treating different types of cancers. A large amount of data on inhibitors in the clinic supports Tub-Mts as a validated target. However, most of the inhibitors reported thus far have been developed around common chemical scaffolds covering a narrow region of the chemical space with limited innovation. This manuscript aims to discuss the first activity landscape and scaffold content analysis of an assembled and curated cell-based database of 851 Tub-Mts inhibitors with reported activity against five cancer cell lines and the Tub-Mts system. The structure-bioactivity relationships of the Tub-Mts system inhibitors were further explored using constellations plots. This recently developed methodology enables the rapid but quantitative assessment of analog series enriched with active compounds. The constellations plots identified promising analog series with high average biological activity that could be the starting points of new and more potent Tub-Mts inhibitors.

Keywords: activity landscape; analog series; cell-based assays; chemical space; chemoinformatics; constellation plots; drug discovery; microtubules; scaffold; structure–property relationships.

MeSH terms

  • Cell Line, Tumor
  • Cheminformatics*
  • Humans
  • Neoplasms / drug therapy*
  • Neoplasms / genetics
  • Tubulin / chemistry*
  • Tubulin / drug effects
  • Tubulin / genetics
  • Tubulin Modulators / chemistry*
  • Tubulin Modulators / pharmacology

Substances

  • Tubulin
  • Tubulin Modulators